Evidence map›Paper›PMID 36833549›Full record

ArticleInternational journal of environmental research and public health2023

How Does Spatial Injustice Affect Residents' Policy Acceptance of the Economic-Social-Ecological Objectives of Construction Land Reduction?

Keqiang Wang, Jianglin Lu, Hongmei Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Keqiang WangSchool of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China.ORCID 0000-0002-5322-365X
Jianglin LuSchool of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China.ORCID 0000-0002-9634-331X
Hongmei LiuSchool of Finance and Business, Shanghai Normal University, Shanghai 200234, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Construction land reduction (CLR) is a policy innovation for Shanghai to explore high-quality economic development, but it will also lead to spatial injustice in the implementation process. Although the literature on spatial injustice and CLR is increasing, very little is known about the influence of spatial injustice in CLR on residents' policy acceptance of the economic-social-ecological objectives of CLR. To fill the knowledge gap, this study uses micro-survey data to identify the factors that influence residents' policy acceptance of the economic-social-ecological objectives of CLR. Results show that: (1) Spatial injustice in CLR significantly reduces residents' policy acceptance of the social and ecological objectives of CLR. (2) The locational disadvantage of villages significantly reduces residents' policy acceptance of the ecological objectives of CLR. (3) The more educated the residents are, the more they recognize the social and ecological objectives of CLR. (4) The higher the percentage of household workers, the more residents endorse the economic and social objectives of CLR. (5) Compared with ordinary residents, cadres are more accepting of the economic objectives of CLR. (6) Robustness tests support the findings of this study. The findings of this study provide insights for sustainable CLR policy reform.

Indexed as

Economic DevelopmentPolicyChinaFamily CharacteristicsHumansSurveys and Questionnairesconstruction land reductioneconomic–social–ecological objectivesmultivariate probit modelpolicy acceptanceShanghaispatial injustice

Identifiers

PMID36833549
PMCPMC9957487

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.